Automotive

Researchers develop algorithm for safer self-driving cars

In a promising development for self-driving car technology, a research team at NYU Tandon School of Engineering has unveiled an algorithm—known as Neurosymbolic Meta-Reinforcement Lookahead Learning (NUMERLA)—that could ...

Computer Sciences

Allowing machine learning to ask questions can make it smarter

Biomedical engineers at Duke University have demonstrated a new method to significantly improve the effectiveness of machine learning models searching for new molecular therapeutics when using just a fraction of the available ...

Machine learning & AI

Simple data gets the most out of quantum machine learning

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today's noisy, intermediate-scale quantum ...

Machine learning & AI

Defining the unexplainable in artificial intelligence

The term "artificial intelligence," usually abbreviated as AI, means many things to many people. Initially, the phrase was used to allude to the potential of machines, computers, specifically, somehow gaining sentience on ...

Machine learning & AI

Why we trust calculators more than AI

Artificial intelligence may seem similar to a calculator but the relationship of humans with the former is not as serene as with the latter. We trust the results of computers, even if we don't know exactly how it can arrive ...

Robotics

Drones navigate unseen environments with liquid neural networks

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation: drones. But these aren't ...

Software

Q&A: How to make computing more sustainable

Ask your computer or phone to translate a sentence from English to Italian. No problem, right? But this task is not as easy as it appears. The software behind your screen had to learn how to process hundreds of billions of ...

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